Overview
- Includes recent research in population-based approaches
- Presents the application of population-based approaches to resource constrained and discrete continuous scheduling
- Written by experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 108)
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Table of contents (13 chapters)
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Front Matter
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Agent-Based Approach to the Single and Multi-mode Resource-Constrained Project Scheduling
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Front Matter
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Population-Based Approaches to the Discrete-Continuous Scheduling
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Front Matter
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Keywords
About this book
This book addresses two of the most difficult and computationally intractable classes of problems: discrete resource constrained scheduling, and discrete-continuous scheduling. The first part of the book discusses problems belonging to the first class, while the second part deals with problems belonging to the second class. Both parts together offer valuable insights into the possibility of implementing modern techniques and tools with a view to obtaining high-quality solutions to practical and, at the same time, computationally difficult problems. It offers a valuable source of information for practitioners dealing with the real-world scheduling problems in industry, management and administration.
The authors have been working on the respective problems for the last decade, gaining scientific recognition through publications and active participation in the international scientific conferences, and their results are obtained using population-based methods. Dr E. Ratajczk-Ropel explores multiple agent and A-Team concepts, while Dr A. Skakovski focuses on evolutionary algorithms with a particular focus on the population learning paradigm.
Authors and Affiliations
Bibliographic Information
Book Title: Population-Based Approaches to the Resource-Constrained and Discrete-Continuous Scheduling
Authors: Ewa Ratajczak-Ropel, Aleksander Skakovski
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-62893-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-62892-9Published: 08 September 2017
Softcover ISBN: 978-3-319-87422-7Published: 11 August 2018
eBook ISBN: 978-3-319-62893-6Published: 21 August 2017
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XX, 236
Number of Illustrations: 48 b/w illustrations